Glove defect detection using image processing / Farid Zuhri Kamal

Glove defect detection using image processing is a convenient method to identify failure in glove production industry. This project is designed to identify the defective gloves in the manufacturing line, to help reduce human failure. The glove defect detection can detect three cases which are normal...

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Bibliographic Details
Main Author:	Kamal, Farid Zuhri
Format:	Thesis
Language:	English
Published:	2020
Subjects:	HD Industries Land use Labor
Online Access:	https://ir.uitm.edu.my/id/eprint/98459/1/98459.PDF
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id	my-uitm-ir.98459
record_format	uketd_dc
spelling	my-uitm-ir.984592024-08-07T15:05:35Z Glove defect detection using image processing / Farid Zuhri Kamal 2020 Kamal, Farid Zuhri HD Industries. Land use. Labor Glove defect detection using image processing is a convenient method to identify failure in glove production industry. This project is designed to identify the defective gloves in the manufacturing line, to help reduce human failure. The glove defect detection can detect three cases which are normal, torn and empty link based on the region of interest (ROI) and the area. The methods used are blob and morphology algorithm to convert the original image to binary image and eliminate noise. A bounding box is obtained to calculate the area of pixel square, in which the resulting area of the normal glove is greater than torn glove. This method is capable of improving and helping the glove industry to enhance their product quality and grow their business. 2020 Thesis https://ir.uitm.edu.my/id/eprint/98459/ https://ir.uitm.edu.my/id/eprint/98459/1/98459.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty Of Electrical Engineering
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	HD Industries Land use Labor
spellingShingle	HD Industries Land use Labor Kamal, Farid Zuhri Glove defect detection using image processing / Farid Zuhri Kamal
description	Glove defect detection using image processing is a convenient method to identify failure in glove production industry. This project is designed to identify the defective gloves in the manufacturing line, to help reduce human failure. The glove defect detection can detect three cases which are normal, torn and empty link based on the region of interest (ROI) and the area. The methods used are blob and morphology algorithm to convert the original image to binary image and eliminate noise. A bounding box is obtained to calculate the area of pixel square, in which the resulting area of the normal glove is greater than torn glove. This method is capable of improving and helping the glove industry to enhance their product quality and grow their business.
format	Thesis
qualification_level	Bachelor degree
author	Kamal, Farid Zuhri
author_facet	Kamal, Farid Zuhri
author_sort	Kamal, Farid Zuhri
title	Glove defect detection using image processing / Farid Zuhri Kamal
title_short	Glove defect detection using image processing / Farid Zuhri Kamal
title_full	Glove defect detection using image processing / Farid Zuhri Kamal
title_fullStr	Glove defect detection using image processing / Farid Zuhri Kamal
title_full_unstemmed	Glove defect detection using image processing / Farid Zuhri Kamal
title_sort	glove defect detection using image processing / farid zuhri kamal
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty Of Electrical Engineering
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/98459/1/98459.PDF
_version_	1811768921639878656

Glove defect detection using image processing / Farid Zuhri Kamal

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